CN109019892A - A kind of regulation method based on data assimilation on-line optimization aeration quantity - Google Patents
A kind of regulation method based on data assimilation on-line optimization aeration quantity Download PDFInfo
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- CN109019892A CN109019892A CN201810916814.8A CN201810916814A CN109019892A CN 109019892 A CN109019892 A CN 109019892A CN 201810916814 A CN201810916814 A CN 201810916814A CN 109019892 A CN109019892 A CN 109019892A
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- China
- Prior art keywords
- dissolved oxygen
- aeration
- data assimilation
- oxygen concentration
- optimization
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Classifications
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F7/00—Aeration of stretches of water
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F3/00—Biological treatment of water, waste water, or sewage
- C02F3/02—Aerobic processes
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F3/00—Biological treatment of water, waste water, or sewage
- C02F3/02—Aerobic processes
- C02F3/12—Activated sludge processes
- C02F3/1278—Provisions for mixing or aeration of the mixed liquor
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F3/00—Biological treatment of water, waste water, or sewage
- C02F3/02—Aerobic processes
- C02F3/12—Activated sludge processes
- C02F3/20—Activated sludge processes using diffusers
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F3/00—Biological treatment of water, waste water, or sewage
- C02F3/34—Biological treatment of water, waste water, or sewage characterised by the microorganisms used
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/22—O2
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W10/00—Technologies for wastewater treatment
- Y02W10/10—Biological treatment of water, waste water, or sewage
Abstract
The invention discloses a kind of regulation methods based on data assimilation on-line optimization aeration quantity, comprising the following steps: S1, modeling: simulating the rate of transform of dissolved oxygen with the kinetic model of aeration, and then simulates dissolved oxygen concentration；S2, on-line measurement: the actual dissolved oxygen concentration of dissolved oxygen measuring sensor on-line measurement is used；S3, data assimilation: combine the aeration parameter for carrying out data assimilation, being optimized with the dissolved oxygen concentration of simulation and actual dissolved oxygen concentration；S4, parameter substitute into: the aeration parameter of optimization is substituted into the kinetic model of aerator；S5, online regulation: online aeration quantity regulation is carried out using the kinetic model after optimization.Method provided by the present invention can connect the kinetic model of the variation of practical dissolved oxygen and aeration, diffusion rate of dissolved oxygen model, improve the degree of regulation of aeration, have important application prospect.
Description
Technical field
The present invention relates to computerized algorithm Regulate Environment technical fields, specially a kind of to be exposed based on data assimilation on-line optimization
The regulation method of tolerance.
Background technique
Instantly it in sewage treatment field, is most widely used with bioanalysis, i.e., by artificially maintaining aerobic, anoxic or detesting
Oxygen environment makes the microorganism in biological tank specific biochemical reaction occur persistently as desired to reduce the dense of target contaminant
Degree, such as the concentration of BOD5, COD, TP, TN pollutant in water is reduced, to realize qualified discharge.And aeration quantity is to influence life
The primary factor of object treatment effect, the controlled level of aeration quantity largely determine the treatment effect of sewage, while
It is most important energy consumption element, typically constitutes from the 45% of plant area's energy consumption --- 70%.In practical application, if aerating system operation is not
When aeration quantity is too small, and aerobic section nitration reaction is suppressed, and easily causes water outlet ammonia nitrogen value not up to standard；When aeration quantity is excessive, remove
Outside additional increased operating cost, high-intensitive aeration stirring effect can smash sludge flock, influence sludge in secondary settling tank
Sedimentation, and then influence outlet effect；The dissolved oxygen content of anoxic section is excessively high caused by acting on simultaneously because of the reflux of mixed liquor, inhibits
The generation of anti-nitration reaction causes the unnecessary waste not up to standard and carbon source of water outlet TN.
In sewage disposal process, the control of aeration quantity is influenced by factors, is fast time scale variable, and dynamics is special
Property be non-linear and time-varying, therefore simple control strategy or the excessively high control method of instrument degree of dependence are difficult to meet aeration
The control requirement of amount.It can be in the regulation method of on-line optimization aeration quantity so needing to develop one kind.
Summary of the invention
The purpose of the present invention is to provide a kind of regulation methods based on data assimilation on-line optimization aeration quantity, on solving
State the problem of proposing in background technique.
To achieve the above object, the invention provides the following technical scheme:
A kind of regulation method based on data assimilation on-line optimization aeration quantity, comprising the following steps:
S1, modeling: the rate of transform of dissolved oxygen is simulated with the kinetic model of aeration, and then simulates dissolved oxygen concentration；
S2, on-line measurement: the actual dissolved oxygen concentration of dissolved oxygen measuring sensor on-line measurement is used；
S3, data assimilation: being combined with the dissolved oxygen concentration of simulation and actual dissolved oxygen concentration and carry out data assimilation,
The aeration parameter optimized；
S4, parameter substitute into: the aeration parameter of optimization is substituted into the kinetic model of aerator；
S5, online regulation: online aeration quantity regulation is carried out using the kinetic model after optimization.
Preferably, step S1- step S5 is carried out in an assimilation time window T.
Preferably, the method for the data assimilation is Ensemble Kalman Filter algorithm.
Preferably, the kinetic model selects Boreal Ecosystem Productivity Simulator model,
And in mode input data phase by model parameter setting related with the rate of transform of dissolved oxygen at variable, and carry out disturbance production
Raw corresponding set.
Preferably, the aerator includes aerator and aeration tank, and the parameter of the aerator includes aerator dirt
Contaminate coefficient, new aerator standard oxygen transfer rate, the correction factor based on water quality and pool-type structure, temperature correction coefficient, aeration tank
Water body actual temperature, stable state saturated dissolved oxygen concentration, aeration tank are in saturated dissolved oxygen concentration and aeration under predetermined condition
Pond average dissolution oxygen concentration.
Compared with prior art, the beneficial effects of the present invention are:
Method provided by the present invention can be by the kinetic model of the variation of practical dissolved oxygen and aeration, diffusion rate of dissolved oxygen model
It connects, improves the degree of regulation of aeration, there is important application prospect.
Detailed description of the invention
Fig. 1 is overall structure diagram of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, the present invention provides a kind of technical solution:
A kind of regulation method based on data assimilation on-line optimization aeration quantity, step S1- step S5 is in an assimilation
Between carry out in window T, comprising the following steps:
S1, modeling: simulating the rate of transform of dissolved oxygen with the kinetic model of aeration, and then simulate dissolved oxygen concentration,
The kinetic model selects Boreal Ecosystem Productivity Simulator model, and in mode input
Data phase by model parameter setting related with the rate of transform of dissolved oxygen at variable, and carry out disturbance generate corresponding set；
S2, on-line measurement: the actual dissolved oxygen concentration of dissolved oxygen measuring sensor on-line measurement is used；
S3, data assimilation: being combined with the dissolved oxygen concentration of simulation and actual dissolved oxygen concentration and carry out data assimilation,
The method of the data assimilation is Ensemble Kalman Filter algorithm, the aeration parameter optimized；
S4, parameter substitute into: the aeration parameter of optimization being substituted into the kinetic model of aerator, the aerator includes
Aerator and aeration tank, the parameter of the aerator include aerator contamination factor, new aerator standard oxygen transfer rate, are based on
The correction factor of water quality and pool-type structure, temperature correction coefficient, aeration tank water body actual temperature, stable state saturated dissolved oxygen concentration,
Aeration tank is in saturated dissolved oxygen concentration and aeration tank average dissolution oxygen concentration under predetermined condition；
S5, online regulation: online aeration quantity regulation is carried out using the kinetic model after optimization.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (5)
1. a kind of regulation method based on data assimilation on-line optimization aeration quantity, which comprises the following steps:
S1, modeling: the rate of transform of dissolved oxygen is simulated with the kinetic model of aeration, and then simulates dissolved oxygen concentration；
S2, on-line measurement: the actual dissolved oxygen concentration of dissolved oxygen measuring sensor on-line measurement is used；
S3, data assimilation: combined with the dissolved oxygen concentration of simulation and actual dissolved oxygen concentration and carry out data assimilation, obtained
The aeration parameter of optimization；
S4, parameter substitute into: the aeration parameter of optimization is substituted into the kinetic model of aerator；
S5, online regulation: online aeration quantity regulation is carried out using the kinetic model after optimization.
2. a kind of regulation method based on data assimilation on-line optimization aeration quantity according to claim 1, it is characterised in that:
Step S1- step S5 is carried out in an assimilation time window T.
3. a kind of regulation method based on data assimilation on-line optimization aeration quantity according to claim 1, it is characterised in that:
The method of the data assimilation is Ensemble Kalman Filter algorithm.
4. a kind of regulation method based on data assimilation on-line optimization aeration quantity according to claim 1, it is characterised in that:
The kinetic model selects Boreal Ecosystem Productivity Simulator model, and in mode input
Data phase by model parameter setting related with the rate of transform of dissolved oxygen at variable, and carry out disturbance generate corresponding set.
5. a kind of regulation method based on data assimilation on-line optimization aeration quantity according to claim 1, it is characterised in that:
The aerator includes aerator and aeration tank, and the parameter of the aerator includes aerator contamination factor, new aerator
It is standard oxygen transfer rate, the correction factor based on water quality and pool-type structure, temperature correction coefficient, aeration tank water body actual temperature, steady
State saturated dissolved oxygen concentration, aeration tank are in saturated dissolved oxygen concentration under predetermined condition and aeration tank average dissolution oxygen is dense
Degree.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109534495A (en) * | 2019-01-21 | 2019-03-29 | 清华大学深圳研究生院 | A kind of sewage water treatment method and system based on microbial gene and organized enzyme |
| CN111217449A (en) * | 2020-01-23 | 2020-06-02 | 苏州业华环境科技有限公司 | Sewage treatment device and method based on accurate control of oxygen input |
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| US4846965A (en) * | 1987-09-14 | 1989-07-11 | Clifft Ricky C | Oxygen controlling wastewater treatment system |
| CN101614651A (en) * | 2009-07-29 | 2009-12-30 | 北京大学 | A kind of data assimilation method for monitoring soil moisture |
| CN102968058A (en) * | 2012-11-13 | 2013-03-13 | 天津大学 | On-line optimization control system for aeration and oxygenation of landscape water body and control method thereof |
| US20140278331A1 (en) * | 2013-08-08 | 2014-09-18 | Iteris, Inc. | Pavement condition analysis from modeling impact of traffic characteristics, weather data and road conditions on segments of a transportation network infrastructure |
| CN106054951A (en) * | 2016-06-22 | 2016-10-26 | 佛山科学技术学院 | Control method and system for dissolved oxygen concentration |
| CN107402586A (en) * | 2017-08-29 | 2017-11-28 | 北京易沃特科技有限公司 | Dissolved Oxygen concentration Control method and system based on deep neural network |
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2018
- 2018-08-13 CN CN201810916814.8A patent/CN109019892A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4846965A (en) * | 1987-09-14 | 1989-07-11 | Clifft Ricky C | Oxygen controlling wastewater treatment system |
| CN101614651A (en) * | 2009-07-29 | 2009-12-30 | 北京大学 | A kind of data assimilation method for monitoring soil moisture |
| CN102968058A (en) * | 2012-11-13 | 2013-03-13 | 天津大学 | On-line optimization control system for aeration and oxygenation of landscape water body and control method thereof |
| US20140278331A1 (en) * | 2013-08-08 | 2014-09-18 | Iteris, Inc. | Pavement condition analysis from modeling impact of traffic characteristics, weather data and road conditions on segments of a transportation network infrastructure |
| CN106054951A (en) * | 2016-06-22 | 2016-10-26 | 佛山科学技术学院 | Control method and system for dissolved oxygen concentration |
| CN107402586A (en) * | 2017-08-29 | 2017-11-28 | 北京易沃特科技有限公司 | Dissolved Oxygen concentration Control method and system based on deep neural network |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109534495A (en) * | 2019-01-21 | 2019-03-29 | 清华大学深圳研究生院 | A kind of sewage water treatment method and system based on microbial gene and organized enzyme |
| CN109534495B (en) * | 2019-01-21 | 2021-08-24 | 清华大学深圳研究生院 | Sewage treatment method and system based on microbial genes and active enzymes |
| CN111217449A (en) * | 2020-01-23 | 2020-06-02 | 苏州业华环境科技有限公司 | Sewage treatment device and method based on accurate control of oxygen input |
| CN111217449B (en) * | 2020-01-23 | 2022-05-31 | 苏州业华环境科技有限公司 | Sewage treatment device and method based on accurate control of oxygen input |
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